dc.contributor.advisor | Mukta, Jannatun Noor | |
dc.contributor.author | Nur, Mir Md. Taosif | |
dc.contributor.author | Dola, Sumaiya Sultana | |
dc.contributor.author | Banik, Apurba Kishore | |
dc.contributor.author | Akhter, Tanzeem | |
dc.contributor.author | Hossain, Nafees | |
dc.date.accessioned | 2022-09-05T05:02:25Z | |
dc.date.available | 2022-09-05T05:02:25Z | |
dc.date.copyright | 2022 | |
dc.date.issued | 2022-01 | |
dc.identifier.other | ID 18101392 | |
dc.identifier.other | ID 19101674 | |
dc.identifier.other | ID 18101483 | |
dc.identifier.other | ID 18101408 | |
dc.identifier.other | ID 18101106 | |
dc.identifier.uri | http://hdl.handle.net/10361/17158 | |
dc.description | This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022. | en_US |
dc.description | Cataloged from PDF version of thesis. | |
dc.description | Includes bibliographical references (pages 51-53). | |
dc.description.abstract | Voice recognition refers to the purpose of interpreting voice or identifying any individual
voice. In modern days of technological advancement voice recognition has
been playing an integral part behind many machine learning algorithms. Furthermore,
speech recognition, alternatively referred to as voice recognition, can help
us immensely in particular scenarios such as in building better access control system
and security system. Voice detection and comparison is a challenging problem
because the traditional methods of speech recognition are not on par with human
capabilities. In modern machine learning methodologies there is a vast potential to
overcome barriers of detecting human speech. The voice is a simple medium people
use for everyday communication, so it can be used to improve security system by
utilizing voice recognition identifying an individual. This article focuses on enhancing
security system by deep learning based approach of voice recognition. Moreover,
the article further elaborates about using available datasets from a central database
which is used for voice detection and comparison. The focal point of this article
is to apply the most suitable methodologies of machine learning and deep learning
to detect any individual by the prosodic feature of speech from a given central
database. | en_US |
dc.description.statementofresponsibility | Mir Md. Taosif Nur | |
dc.description.statementofresponsibility | Sumaiya Sultana Dola | |
dc.description.statementofresponsibility | Apurba Kishore Banik | |
dc.description.statementofresponsibility | Tanzeem Akhter | |
dc.description.statementofresponsibility | Nafees Hossain | |
dc.format.extent | 53 pages | |
dc.language.iso | en | en_US |
dc.publisher | Brac University | en_US |
dc.rights | Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
dc.subject | Voice recognition | en_US |
dc.subject | Deep learning | en_US |
dc.subject | Security System | en_US |
dc.subject | Speech recognition | en_US |
dc.subject | Central database | en_US |
dc.subject.lcsh | Machine learning | |
dc.subject.lcsh | Computer networks--Security measures | |
dc.title | Voice recognition using machine learning and central database to enhance security system | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Department of Computer Science and Engineering, Brac University | |
dc.description.degree | B. Computer Science | |